AI News
Industry updates that aren't product releases — partnership announcements, policy updates, research highlights, and executive commentary. Auto-ingested from RSS feeds.
Amazon
Operationalizing Agentic AI Part 1: A Stakeholder’s Guide
The AWS Generative AI Innovation Center has helped 1,000+ customers move AI into production, delivering millions in documented productivity gains. In this post, we share guidance for leaders across the C-suite: CTOs, CISOs, CDOs, and Chief Data Science/AI officers, as well as business owners and compliance leads.
Amazon
How Tines enhances security analysis with Amazon Quick Suite
In this post, we show you how to connect Quick Suite with Tines to securely retrieve, analyze, and visualize enterprise data from any security or IT system. We walk through an example that uses a MCP server in Tines to retrieve data from various tools, such as AWS CloudTrail, Okta, and VirusTotal, to remediate security events using Quick Suite.
Amazon
Build a serverless conversational AI agent using Claude with LangGraph and managed MLflow on Amazon SageMaker AI
This post explores how to build an intelligent conversational agent using Amazon Bedrock, LangGraph, and managed MLflow on Amazon SageMaker AI.
Amazon
How Lendi revamped the refinance journey for its customers using agentic AI in 16 weeks using Amazon Bedrock
This post details how Lendi Group built their AI-powered Home Loan Guardian using Amazon Bedrock, the challenges they faced, the architecture they implemented, and the significant business outcomes they’ve achieved. Their journey offers valuable insights for organizations that want to use generative AI to transform customer experiences while maintaining the human touch that builds trust and loyalt
Amazon
How Ricoh built a scalable intelligent document processing solution on AWS
This post explores how Ricoh built a standardized, multi-tenant solution for automated document classification and extraction using the AWS GenAI IDP Accelerator as a foundation, transforming their document processing from a custom-engineering bottleneck into a scalable, repeatable service.